by Y. A. Rozanov is a highly regarded, compact introduction to modern probability, renowned for its mathematical precision and succinct style. Translated from Russian by Richard A. Silverman , this classic Dover Publications textbook provides a fast-moving yet self-contained overview of the subject in just 160 pages. Core Content and Structure
The book is structured into eight chapters that guide the reader from elementary foundations to advanced stochastic processes:
Despite its brevity, the text is dense with educational resources: Probability Theory: A Concise Course
Chapter 6 introduces generating functions, characteristic functions, and the Central Limit Theorem .
While rigorous, it requires no prior knowledge of measure theory , making it accessible to undergraduate students with a basic background in calculus. Critical Reception Translated from Russian by Richard A
Chapter 5 focuses on Bernoulli trials, the binomial and Poisson distributions, and the De Moivre-Laplace theorem .
Brief introductions to Information Theory , Game Theory , Branching Processes , and Optimal Control expand the book's scope. While rigorous, it requires no prior knowledge of
Includes 150 problems with many hints and answers provided, making it suitable for self-study.